• Journal of Digital Convergence
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• v.19 no.1
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• pp.89-97
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• 2021

The purpose of this study is to verify the influence of the cognitive process related to the organizational citizenship behavior. The research method consisted of the cross-design of the prospect dimension and goal orientation dimension, and information security factors consisted of distributive justice, response efficacy, self efficacy, and organizational citizenship behavior. As a result of the study, the dimension of prospect had a significant effect on response efficacy and self efficacy, and it was found that the influence of the gain condition was greater than that of the loss condition. The goal orientation dimension had a significant effect on response efficacy and self efficacy, and it was found that the influence of the growth condition was greater than that of the validation condition. The research model that explained the relationship between information security factors appeared as a partial mediating model between distributive justice, response efficacy, and organizational citizenship behavior. The implications of this study suggest that it is necessary to establish an information security strategy in combination with individual decision-making factors and organizational culture factors.

• Women's Health Nursing
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• v.16 no.2
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• pp.116-125
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• 2010

Purpose: The purpose of this study was to investigate the relationship between health locus of control, exercise self-efficacy and exercise benefits / barriers of female college students. Methods: Convenient sampling was used to recruit participants from a University based in Pusan. Data were collected from October 15 to December 20, 2007, and participants were 322 students. The questionnaires administered consisted of Multidimensional Health Locus of Control (HLOC) Scales, Exercise Self-efficacy Scale, and Exercise Benefits / Barriers Scale. Descriptive statistics, ANOVA, and Pearson's correlation coefficients were used to analyze the data. Results: The mean scores for the HLOC among female students was HLOC-I: 22.24, HLOC-P: 16.82, HLOC-C: 15.16. The mean scores were exercise self-efficacy: 37.45, exercise benefit: 2.96, and exercise barriers: 2.89. The 'double external' response pattern of HLOC was the largest group in female students with significant difference in exercise benefit between response patterns of HLOC. There were significant correlations between HLOC-I, exercise self-efficacy, and exercise benefit/barriers. Conclusion: The results of this study suggest that tailored health management program by pattern of HLOC should be developed to promote the exercise behavior and enhance the exercise self-efficacy and benefit for female students.

• Biomolecules & Therapeutics
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• v.28 no.6
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• pp.519-526
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• 2020

Methamphetamine (MA) is one of the most commonly abused drugs in the world by illegal drug users. Addiction to MA is a serious public health problem and effective therapies do not exist to date. It has also been reported that behavior induced by psychostimulants such as MA is related to histone deacetylase (HDAC). MeBib is an HDAC6 inhibitor derived from a benzimidazole scaffold. Many benzimidazole-containing compounds exhibit a wide range of pharmacological activity. In this study, we investigated whether HDAC6 inhibitor MeBib modulates the behavioral response in MA self-administered rats. Our results demonstrated that the number of active lever presses in MA self-administered rats was reduced by pretreatment with MeBib. In the hippocampus of rats, we also found MA administration promotes GluN2B, an NMDA receptor subunit, expression, which results in sequential activation of ERK/CREB/BDNF pathway, however, MeBib abrogated it. Collectively, we suggest that MeBib prevents the MA seeking response induced by MA administration and therefore, represents a potent candidate as an MA addiction inhibitor.

• Journal of KIISE:Information Networking
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• v.28 no.4
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• pp.489-497
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• 2001

In the coming age of information warfare, information security patterns take on a more offensive than defensive stance. It is necessary to develop an active form of offensive approach to security protection in order to guard vital information infrastructures and thwart hackers. Information security products need to support an automatic response facility without human intervention in order to minimize damage to the attacked system and cope with the intrusion immediately. This paper presents an automatic intrusion response model which is developed on a Self-Extension Monitoring. It also proposes an ARTEMIS(Advanced Realtime Emergency Management and Intruder Identification System), which is designed and implemented based on the suggested model. The Self-Extension Monitoring using self-protection and replication minimizes spatial limitations on collection of monitoring information and intruder tracing. It enhances the accuracy of intrusion detection and tracing.

• Korean Journal of Child Studies
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• v.35 no.1
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• pp.95-117
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• 2014

The study was performed at a childcare center based play therapy to help ameliorate the problems of infants in the borderline, self-concept, social interaction, infant's response changes observed during play therapy. The subjects of this study consisted of twenty eight infants between the ages of 4 to 5 years who exhibited behavior problems. All subjects were located in the Seoul. The play therapists were sent to the child care center, and conducted 16 sessions of play therapy to infants exhibiting problem behaviors. In summary, the results indicated the following. First, childcare center based play therapy was effective in improving infants' behavior problems in the borderline areas outlined above. Second, childcare center based play therapy had a positive effect on the self-concept of infants. Third, childcare center based play therapy had a positive effect on the social interaction among the infants. Finally, there was significant difference in the responses of infants during childcare center based play therapy.

• Computers and Concrete
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• v.17 no.5
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• pp.629-638
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• 2016

Optimization of the concrete mixture design is a process of search for a mixture for which the sum of the cost of the ingredients is the lowest, yet satisfying the required performance of concrete. In this study, a statistical model was carried out to model a cost effective optimal mix proportioning of high strength self-compacting concrete (HSSCC) using the Response Surface Methodology (RSM). The effect of five key mixture parameters such as water-binder ratio, cement content, fine aggregate percentage, fly ash content and superplasticizer content on the properties and performance of HSSCC like compressive strength, passing ability, segregation resistance and manufacturing cost were investigated. To demonstrate the responses of model in quadratic manner Central Composite Design (CCD) was chosen. The statistical model showed the adjusted correlation coefficient R2adj values were 92.55%, 93.49%, 92.33%, and 100% for each performance which establish the adequacy of the model. The optimum combination was determined to be $439.4kg/m^3$ cement content, 35.5% W/B ratio, 50.0% fine aggregate, $49.85kg/m^3$ fly ash, and $7.76kg/m^3$ superplasticizer within the interest region using desirability function. Finally, it is concluded that multiobjective optimization method based on desirability function of the proposed response model offers an efficient approach regarding the HSSCC mixture optimization.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.331-336
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• 2008

An self-centering energy-dissipative (SCED) bracing system has recently been developed as a new seismic force resistant bracing system. The advantage of the SCED brace system is that, unlike other comparable advanced bracing systems that dissipate energy, such as the buckling restrained brace system, it has a self-centering capability that reduces or eliminates residual building deformations after major seismic events. In this study seismic performance of SCED braced frames is evaluated for a set of 20 design level earthquake records. According to analysis results the SCED systems showed more uniform interstory drift demand for buildings with 8 story or fewer. The residual deformation in SCED buildings turned out to be much less than that of moment-resisting frames.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.41 no.5
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• pp.533-540
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• 1992

The Self Creating and Organizing (SCO) is a new architecture and one of the unsupervized learning algorithm for the artificial neural network. SCO begins with only one output node which has a sufficiently wide response range, and the response ranges of all the nodes decrease automatically whether adapting the weights of existing node or creating a new node. It is compared to the Kohonen's Self Organizing Feature Map (SOFM). The results show that SCONN has lots of advantages over other competitive learning architecture.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.566-575
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• 2010

In recent, artificial immune system has become an important research direction in the anomaly detection of networks. The conventional artificial immune systems are usually based on the negative selection that is one of the computational models of self/nonself discrimination. A main problem with self and non-self discrimination is the determination of the frontier between self and non-self. It causes false positive and false negative which are wrong detections. Therefore, additional functions are needed in order to detect potential anomaly while identifying abnormal behavior from analogous symptoms. In this paper, we design novel network attack detection and response schemes based on artificial immune system, and evaluate the performance of the proposed schemes. We firstly generate detector set and design detection and response modules through adopting the interaction between dendritic cells and T-cells. With the sequence of buffer occupancy, a set of detectors is generated by negative selection. The detection module detects the network anomaly with a set of detectors and generates alarm signal to the response module. In order to reduce wrong detections, we also utilize the fuzzy number theory that infers the degree of threat. The degree of threat is calculated by monitoring the number of alarm signals and the intensity of alarm occurrence. The response module sends the control signal to attackers to limit the attack traffic.

• Proceedings of the KIEE Conference
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• summer
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• pp.1235-1238
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• 2004

This paper presents the large-signal transient analysis of a self-driven active-clamp forward converter, eliminating the extra drive circuit for the active clamp switch. The operation principle of the converter was presented and experiential results were used to verify the analyzed results. A 50-W prototype converter built and tested it. From the tested results, input transient response and load transient response of the converter were established.